A data-driven group retrosynthesis planning model inspired by neurosymbolic programming by Xuefeng Zhang, Haowei Lin, Muhan Zhang, Yuan Zhou, Jianzhu Ma

“…Inspired by human learning, our algorithm, akin to neurosymbolic programming, builds upon commonly used multi-step concepts such as cascade and complementary reactions and can evolve from practical experiences, enhancing the prediction model for fundamental and compositional reaction templates. …”
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Mechanical Modeling of the Premolar: Numerical Analysis of Stress Distribution Under Masticatory Forces by Marius Turnea, Cezar Mucileanu, Irina Duduca, Mariana Rotariu

“…This study explored the modeling of mandibular and dental components using advanced methods such as finite element analysis (FEA) and three-dimensional modeling. …”
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Development of Theoretical Approaches to Determination of the Main Groups of Biologically Active Substances of Medicinal Plant Raw Materials by TLC Method by O. V. Trineeva

“…For the design of mobile phases for the separation of mixtures of BAS of plant origin, in a thin layer of sorbent, the following approaches are used: literary sources; standard mobile phases; spot elution method; the scheme proposed by the firm Camag (Switzerland); model "PRISMA"; variocameras and others. …”
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Composición corporal y autoestima corporal en usuarios de gimnasios en una población colombiana (Body composition and body self-esteem in gym users in a Colombian city) by Andrés Felipe Arias Giraldo, Enoc Valentín González Palacios, Astrid Viviana Vargas Romero

“…Conclusion: Low correlations were found between body self-esteem and body composition measured with the five-component model in men (percentage of muscle mass, bone mass, residual mass, and percentage of fat) and women (muscle mass, fat mass, and skin mass). …”
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Influence of a structured, 1-year-long dietary intervention regarding body composition and cardiovascular risk (ARCTIC) in coeliac disease: a protocol of a multicentre randomised c... by Zsolt Szakács, Nelli Farkas, Judit Bajor, Nándor Faluhelyi, Krisztina Hagymási, Zsófia Vereczkei, Míra Zsófia Peresztegi, Klára Lemes, Sarolta Dakó, Eszter Dakó, Szilvia Lada, Gábor Szekeres, Gyula Pásztor, Gabriella Pár, Emese Mezősi

“…Outcomes include anthropometric parameters (body composition analysis including weight, Body Mass Index, fat mass, per cent body fat, skeletal muscle mass, visceral fat area and total body water) and CV risk-related metabolic parameters (eg, lipid profile, homocysteine, fasting glucose, haemoglobin A1c, Homeostatic Model Assessment Index, metabolic hormones, waist circumference, blood pressure, liver function tests, liver steatosis rate and diet composition). …”
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DMRG study of the theta-dependent mass spectrum in the 2-flavor Schwinger model by Etsuko Itou, Akira Matsumoto, Yuya Tanizaki

“…The masses of the composite particles, the pion and sigma meson, are computed by two independent methods. …”
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Genomic structural equation modeling elucidates the shared genetic architecture of allergic disorders by Jingsheng Ruan, Xinglin Yi

“…Abstract Background The intricate shared genetic architecture underlying allergic disorders—including allergic asthma, atopic dermatitis, contact dermatitis, allergic rhinitis, allergic conjunctivitis, allergic urticaria, anaphylaxis, and eosinophilic esophagitis—remains incompletely characterized. Methods Our study employed genomic structural equation modeling (Genomic SEM) to define the common factor representing the shared genetic architecture of allergic disorders. …”
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Multi-Physics Field Based Simulation on the Response and Saturation Properties of Hg_1-xCd_xTe Based Photovoltaic Detectors With Composition Gradients by Jiahui Chen, Wangyong Chen, Linlin Cai, Haifeng Chen, Pengling Yang, Dahui Wang, Manling Shen, Xiangyang Li, Hui Qiao

“…The IF structure has the best current response at illumination intensities below 20 W/cm², with the peak responsivity of the nonlinear model exceeding 2.8 A/W. The VF structure has the best current response at illumination intensities above 20 W/cm² and exhibits the best saturation characteristics, with its saturation threshold consistently above 15 W/cm², while the PF structure with nonlinear increasing (nInc) compositional gradient exhibits excellent linearity of response under conditions of high illumination intensity. …”
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THE METHOD OF CALCULATION AND ANALYSIS OF HEAT TRANSFER COEFFICIENT OF BIMETALLIC FINNED TUBES OF AIR COOLING UNITS WITH IRREGULAR EXTERNAL CONTAMINATION by V. V. Dudarev, S. O. Filatаu, T. B. Karlovich

“…Under such conditions the thickness of the pollution layer at the base of the fins becomes much greater than at the rest of the finned surface. The suggested method is based on a mathematical model developed with the use of the method of electrothermal analogy, whereby the heat flow through the wall of the finned tube is considered as divided into two components, viz. through the annular layer of outside contamination adjacent to the base of the ribs, and through the remaining part of the external ribbed surface covered with a thin layer of pollution. …”
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Lightweight anomaly detection model for UAV networks based on memory-enhanced autoencoders by HU Tianzhu, SHEN Yulong, REN Baoquan, HE Ji, LIU Chengliang, LI Hongjun

“…In order to solve the problems of high energy consumption and high reliance on manual annotation data of traditional intelligent attack detection methods in UAV networks, a lightweight UAV network online anomaly detection model based on a double-layer memory-enhanced autoencoder integrated architecture was proposed. …”
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Expanding the frontiers of additive manufacturing: Higher microstructure identification through probability modeling by Muhammad Shoaib, Muhammad Idrees, Hakeem Ullah, Aasim Ullah Jan, Touqeer Ahmad, Ali Akgül, Magda Abd El-Rahman, Seham M. Al-Mekhlafi

“…Probabilistic models and machine learning methods create a step forward in making predictions for additive manufacturing (AM) microstructure. …”
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Psychotherapist remarks’ ML classifier: insights from LLM and topic modeling application by Alexander Vanin, Vadim Bolshev, Anastasia Panfilova

“…Understanding recurring language patterns in therapist communication can enhance clinical practice, supervision, and training, yet systematic approaches to topic analysis remain limited.MethodsThe study applies BERTopic, an ML-based topic modeling technique, to unstructured dialogues from two distinct groups of therapists: classical (founders of therapeutic schools such as Carl Rogers, Fritz Perls, and Albert Ellis) and modern practitioners representing diverse psychotherapeutic approaches. …”
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Prediction of Propellant Electrostatic Sensitivity Based on Small-Sample Machine Learning Models by Fei Wang, Kai Cui, Jinxiang Liu, Wenhai He, Qiuyu Zhang, Weihai Zhang, Tianshuai Wang

“…A dataset comprising 18 experimental formulations was employed to train and evaluate six machine learning models. Among them, the Random Forest (RF) model achieved the highest predictive accuracy (R² = 0.9681), demonstrating a strong generalization capability through leave-one-out cross-validation. …”
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Assessment of agricultural sustainability performance in Dali Prefecture, China using the DPSIR Model by Yishan Chen, Harison Kiplagat Kipkulei, Zhiqiang Xie, Stefan Sieber

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Hybrid Dual-Input Model for Respiratory Sound Classification With Mel Spectrogram and Waveform by Fan Wang, Jiacheng Gao, Ying Wang, Guoheng Huang, Xiaochen Yuan

“…In this model, we employed Mel-spectrograms and waveform representations as feature extraction methods, utilizing the strengths of multiple modalities to enhance model performance. …”
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Construction and application of near-infrared spectroscopy analysis model for peanut quality traits by Hairong CAI, Wenjing SONG, Jianben LIN, Jiawei LIU, Yuanyuan GUO, Bowen LI, Haiyang YANG, Jiayi LU, Hanfeng SHI, Jiankuan WANG, Fangming LI, Tao GUO

“…The single and composite preprocessing methods were compared to select the best model that performed optimally under this spectral preprocessing by comparing the determination coefficients (R2) and root mean square errors of calibration (RMSEC) of different models. …”
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Association of dietary inflammatory index, composite dietary antioxidant index and risk of death among adult cancer survivors: findings from the National Health and Nutrition Exami... by Zhuanbo Luo, Shiyu Chen, Peixu Chen, Kunlong Xiong, Chao Cao

“…To quantify the relationship between the indices and mortality risk, multivariable Cox proportional hazards models were employed, generating hazard ratios and corresponding 95% confidence intervals. …”
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Clinical characteristics, prognosis, and predictive modeling in class IV ± V lupus nephritis by Anjing Wang, Anjing Wang, Yunlong Qin, Yunlong Qin, Yan Xing, Zixian Yu, Liuyifei Huang, Jinguo Yuan, Yueqing Hui, Mei Han, Guoshuang Xu, Jin Zhao, Shiren Sun

“…ObjectiveThe objective of this study is to compare the clinical features and survival outcomes of class IV ± V lupus nephritis (LN) patients, identify risk factors, and develop an accurate prognostic model.MethodsThis study enrolled patients diagnosed with class IV ± V LN by renal biopsy at Xijing Hospital from December 2013 to June 2023. …”
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Association of pre- and post-diagnosis dietary total antioxidant capacity (TAC) and composite dietary antioxidant index (CDAI) with overall survival in patients with ovarian cancer... by Dong-Dong Wang, Ming-Qian Jia, He-Li Xu, Yu Li, Jia-Xin Liu, Jia-Cheng Liu, Jia-Nan Sun, Fan Cao, Lang Wu, Fang-Hua Liu, Yi-Zi Li, Yi-Fan Wei, Xiao-Ying Li, Qian Xiao, Song Gao, Dong-Hui Huang, Tao Zhang, Ting-Ting Gong, Qi-Jun Wu

“…Multivariable Cox proportional-hazards models were applied to calculate the hazard ratios (HR) and 95% confidence intervals (CI). …”
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Designing an entrepreneurial ecosystem model in a university with a knowledge-based approach by Nahid Mir, Amin Rahimi Kia, Mehry Daraei

“…The results in the qualitative part showed that 67 primary codes, 11 basic themes, and 5 constructive themes are identified in most infrastructure and support clusters (2 themes), integration of technology and knowledge (2 themes), education and culture (3 themes), policy and planning. (2 themes), and integrated management (2 themes); and relationships between them were drawn and presented in the form of a paradigmatic model. The results of the quantitative part showed that 5 indicators and 11 components with factor load, average extracted variance, and convergent validity are higher than (0.4), Cronbach's alpha coefficient and composite reliability are higher than (0.7), significant t coefficients is higher than (1.96); all were confirmed, and the model has a strong fit.ConclusionThe purpose of this research was to design an entrepreneurship ecosystem model in a university. …”
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